AI-Driven Dairy Farming: A Case Study of Technological Adoption and Organizational Adaption in a Czech SME

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F71226401%3A_____%2F25%3AN0101130" target="_blank" >RIV/71226401:_____/25:N0101130 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.ea.bg.ac.rs/index.php/EA/article/view/2461" target="_blank" >https://www.ea.bg.ac.rs/index.php/EA/article/view/2461</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.59267/ekoPolj25041437S" target="_blank" >10.59267/ekoPolj25041437S</a>

Jazyk výsledku

angličtina

Název v původním jazyce

AI-Driven Dairy Farming: A Case Study of Technological Adoption and Organizational Adaption in a Czech SME

Popis výsledku v původním jazyce

This paper analyzes the use of artificial intelligence (AI) and smart technologies in dairy cattle farming through a case study of the Czech SME Agrosoft. The study assesses how AI-based management systems affect operational efficiency, animal welfare, and environmental sustainability, and identifies challenges in their implementation. It focuses on automated milking, thermal imaging for health monitoring, and IoT-supported environmental control. A qualitative approach was applied, combining semi structured interviews with developers and implementation specialists with an analysis of internal documentation. The findings show that AI enables earlier detection of health issues, more efficient feeding and barn-climate control, and reduced labor demands, contributing to improved herd welfare and lower operating costs. At the same time, the research highlights organizational barriers, especially the need for staff training and gradual workflow adaptation. The paper concludes that AI can significantly advance sustainable, welfare-oriented livestock farming, provided that farms ensure sufficient technological readiness and human-centered change management.

Název v anglickém jazyce

AI-Driven Dairy Farming: A Case Study of Technological Adoption and Organizational Adaption in a Czech SME

Popis výsledku anglicky

This paper analyzes the use of artificial intelligence (AI) and smart technologies in dairy cattle farming through a case study of the Czech SME Agrosoft. The study assesses how AI-based management systems affect operational efficiency, animal welfare, and environmental sustainability, and identifies challenges in their implementation. It focuses on automated milking, thermal imaging for health monitoring, and IoT-supported environmental control. A qualitative approach was applied, combining semi structured interviews with developers and implementation specialists with an analysis of internal documentation. The findings show that AI enables earlier detection of health issues, more efficient feeding and barn-climate control, and reduced labor demands, contributing to improved herd welfare and lower operating costs. At the same time, the research highlights organizational barriers, especially the need for staff training and gradual workflow adaptation. The paper concludes that AI can significantly advance sustainable, welfare-oriented livestock farming, provided that farms ensure sufficient technological readiness and human-centered change management.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

50204 - Business and management

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Ekonomika poljoprivreda-Economic of Agriculture

ISSN

0352-3462

e-ISSN

—

Svazek periodika

72

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

RS - Srbská republika

Počet stran výsledku

16

Strana od-do

1437-1452

Kód UT WoS článku

001651646900018

EID výsledku v databázi Scopus

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